ObjectiveTo investigate the role of DEAD-box helicase 3 X-linked （DDX3X） in immune-mediated liver injury （ILI）， and to clarify its mechanism by regulating endoplasmic reticulum stress （ERS）-dependent apoptotic pathway and its association with the clinical progression of hepatitis B. MethodsMice were given injection of concanavalin A （ConA） via the caudal vein to establish a model of ILI， PBS （control group） and different concentrations of ConA were injected into the tail vein of hepatocyte-specific DDX3X-knockout mice （DDX3X^ΔHep and DDX3X-flox mice （DDX3X^fl/fl）， respectively.. The log-rank survival analysis， measurement of the serum levels of aspartate aminotransferase （AST） and alanine aminotransferase （ALT）， and HE staining of liver tissue were performed to assess liver injury， and qRT-PCR and Western Blot were used to measure the mRNA and protein expression levels of glucose-regulated protein 78 （GRP78）， CCAAT/enhancer-binding protein homologous protein （CHOP）， and DDX3X in liver tissue. Intraperitoneal injection of 4-phenylbutyric acid （4-PBA， 100 mg/kg） was performed to inhibit ERS. Serum samples （n=30） and liver tissue samples （n=6） were collected from healthy controls， chronic hepatitis B （CHB） patients， and hepatitis B virus-associated liver failure （HBV-LF） patients； ELISA was used to measure the serum level of DDX3X， and qRT-PCR/Western Blot was used to analyze the expression of targets in liver tissue. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the control group of mice， the expression of DDX3X in the liver of mice induced by ConA was significantly increased after liver injury （P<0.05）， and hepatocyte-specific DDX3X knockout increased the 72-hour survival rate of mice by 55% （compared with 20% in the DDX3X^fl/fl group）， with significant reductions in the serum levels of ALT and AST （P<0.000 1） and the expression levels of the ERS markers GRP78 and CHOP （P<0.05）. After ERS was inhibited by 4-PBA， there was alleviation of liver injury （with reductions in ALT and AST， P <0.001） and a reduction in DDX3X expression （P<0.01）. The analysis of clinical samples showed that the mRNA and protein expression levels of liver DDX3X in CHB patients and HBV-LF patients were significantly higher than those in healthy controls （all P<0.01）， and there was a significant increase in the serum level of DDX3X in HBV-LF patients （P<0.000 1）. ConclusionDDX3X exacerbates ILI by regulating the ERS-dependent apoptotic pathway （GRP78/CHOP）， and its expression is associated with the progression of hepatitis B. Therefore， it can be used as a potential therapeutic target.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective:To study the risk and pattern of deaths caused by various diseases in the population and in the case of long-term occupational X-ray exposure.Methods:Using a combination of retrospective and prospective cohort research methods, an exposure group of medical X-ray diagnostic workers who worked in the radiology department of Jiangsu Provincial Hospital between 1950 and 1980 and a control group of medical workers from other departments who did not work with radiolog during the same period in the same hospital were selected to form a study cohort. The cumulative number of person years of observation in the cohort during 1950-2011 was calculated, and the Cox regression model was used to calculate the risk of deaths of medical X-ray diagnostic workers for various diseases through adjusting sex, attained age, birth age, and starting working age.Results:A total of 6 953 follow-up visits was completed to the cohort, including 3 649 in the radiation group and 3 304 in the control group, with a total of 347 362 person years of observation. There were 2 099 deaths in the cohort as of December 31, 2021. Cox regression results showed that diseases with a significantly higher risk of death in the radiation group compared with the control group were: all-cancer ( RR=1.20, 95% CI: 1.04-1.39, Z=2.56, P<0.05, including lung cancer RR=1.52, 95% CI: 1.17-1.98, Z=3.10, P<0.01, and pancreatic cancer RR=1.96, 95% CI: 1.11-3.46, Z=2.31, P<0.05); diseases of the circulatory system ( RR=1.29, 95% CI: 1.06-1.57, Z=2.58, P<0.01); endocrine, nutritional and metabolic diseases ( RR=1.90, 95% CI: 1.06-3.42, Z=2.14, P<0.05). Stratified analyses showed that, of male workers, the radiation group had an increased risk of death caused by all-cancer and lung cancer ( Z=3.50, 2.92, P<0.01); of the age group at starting ages 26 to 30, the radiation group had an increased risk of death distributed to circulatory diseases ( Z=2.06, P<0.05); and in the age group at attained ages elder than 61 years, the radiation group had an increased risk of death distributed to all cancers, lung cancer, and circulatory diseases ( Z=2.90-4.31, P<0.01). Conclusions:As has been shown, threre is an increasing risk of death distributed to lung cancer, pancreatic cancer, and circulatory diseases in medical X-ray diagnostic workers in Jiangsu province. Further in-depth research in related areas may be conducted in the future.

Objective:To construct a method for hepatitis B virus (HBV) DNA detection based on recombinase-mediated isothermal amplification (RAA)-clustered regularly interspaced short palindromic repeats and their associated protein 13a (CRISPR-Cas13a).Methods:Through the alignment and screening of HBV DNA sequences, a positive plasmid was constructed, and recombinase-aided amplification (RAA) primers and CRISPR RNA (crRNA) were designed. A method for detecting HBV DNA based on the RAA-CRISPR-Cas13a system was developed, and the specificity and sensitivity were evaluated. Utilizing the CRISPR-Cas13a system, 70 clinical samples from HBV DNA-positive patients with various viral loads collected at Beijing You′an Hospital from 2019 to 2021 were analyzed. The detection results were further compared with those results using real-time quantitative polymerase chain reaction (qPCR).Results:The optimal RAA amplification primers and crRNA were first screened using the RAA-CRISPR-Cas13a method, with the sensitivities for detecting HBV DNA standards and for clinical samples at 1 IU/ml and<10 IU/ml, respectively, demonstrating specificity for HBV DNA detection. Compared with qPCR (the gold standard), the detection consistency between the two methods was 100% (70/70).Conclusion:This study established a method for detecting HBV DNA by integrating recombinase-aided amplification (RAA) technology with CRISPR/Cas13a technology.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

OBJECTIVE To design and synthesize rifamycin S derivatives and load them into milk exosomes to evaluate their in vitro antimicrobial activity.METHODS Rifamycin S derivatives were synthe-sized and characterized by mass spectrometry and NMR.Using the dilution assay method,the inhibitory activity of each rifamycin S derivatives molecule against Staphylococcus aureus and Pseudomonas aerugi-nosa was determined,and the IC50 was calculated.Derivatives molecules with excellent antimicrobial activity were selected and loaded into milk exosomes using the ultrasonication method,resulting in the preparation of milk exosome-loaded rifamycin S derivatives.The antimicrobial activity against Staphylo-coccus aureus was determined using the dilution assay method.The inhibitory effect of the exosome-loaded rifamycin S derivatives on Staphylococcus aureus residing within macrophages was detected using the plate colony counting method.RESULTS Three rifamycin S derivatives were successfully designed and synthesized,which demonstrated superior antimicrobial activity against Staphylococcus aureus(the parent compound's antimicrobial activity is merely from 1/20 to 1/80 of that of the three rifamycin S derivatives)and Pseudomonas aeruginosa(the parent compound's antimicrobial activity is only 1/14 and 1/9 of that of compound 1 and compound 3)compared to the parent compound.The loading of milk exosomes with the rifamycin S derivatives compound 3 was successfully achieved,with a loading efficiency of 10.9％.The antimicrobial activity of the compound after exosome loading was significantly enhanced against Staphylococcus aureus in vitro and against Staphylococcus aureus residing within macrophages(P＜0.01).CONCLUSION The designed and synthesized derivatives of rifamycin S possess stronger anti-microbial activity,and their antibacterial efficacy against both extracellular and intracellular bacteria can be further enhanced after loading into exosomes.

Objective:To develop a Pain Management Nursing Competency Evaluation Index System for surgical nurses, providing a framework for assessing their pain management competency and guiding in-service training programs.Methods:From December 2023 to July 2024, a research team employed literature analysis, semi-structured interviews, expert consultations, and the analytic hierarchy process (AHP) to determine the content and weight of the competency evaluation index system. A cross-sectional survey was subsequently conducted using convenience sampling on 788 surgical nurses to test the internal consistency, test-retest reliability, and content validity of the index system.Results:The response rates for the two rounds of expert consultations were both 100% (46/46), with an expert authority coefficient of 0.921; the Kendall′s coefficients of expert opinions for the primary indicators were 0.106 and 0.245, respectively. The final index system included seven primary indicators (routine pain assessment, assessment and management of active and unexpected pain, pharmacological pain management, patient-controlled analgesia nursing, non-pharmacological pain management, pain related education for patients and their families, and professional development), 23 secondary indicators, and 78 tertiary indicators. The overall Cronbach α was 0.991, the test-retest reliability was 0.493, the item-level content validity index ranged from 0.96 to 1.00, and the scale-level content validity index was 0.98.Conclusions:The pain management nursing competency evaluation index system for surgical nurses is scientifically valid, reliable, and practical. It offers a solid foundation for evaluating the pain management competencies of surgical nurses and designing targeted in-service training programs.

Objective:To study the risk and pattern of deaths caused by various diseases in the population and in the case of long-term occupational X-ray exposure.Methods:Using a combination of retrospective and prospective cohort research methods, an exposure group of medical X-ray diagnostic workers who worked in the radiology department of Jiangsu Provincial Hospital between 1950 and 1980 and a control group of medical workers from other departments who did not work with radiolog during the same period in the same hospital were selected to form a study cohort. The cumulative number of person years of observation in the cohort during 1950-2011 was calculated, and the Cox regression model was used to calculate the risk of deaths of medical X-ray diagnostic workers for various diseases through adjusting sex, attained age, birth age, and starting working age.Results:A total of 6 953 follow-up visits was completed to the cohort, including 3 649 in the radiation group and 3 304 in the control group, with a total of 347 362 person years of observation. There were 2 099 deaths in the cohort as of December 31, 2021. Cox regression results showed that diseases with a significantly higher risk of death in the radiation group compared with the control group were: all-cancer ( RR=1.20, 95% CI: 1.04-1.39, Z=2.56, P<0.05, including lung cancer RR=1.52, 95% CI: 1.17-1.98, Z=3.10, P<0.01, and pancreatic cancer RR=1.96, 95% CI: 1.11-3.46, Z=2.31, P<0.05); diseases of the circulatory system ( RR=1.29, 95% CI: 1.06-1.57, Z=2.58, P<0.01); endocrine, nutritional and metabolic diseases ( RR=1.90, 95% CI: 1.06-3.42, Z=2.14, P<0.05). Stratified analyses showed that, of male workers, the radiation group had an increased risk of death caused by all-cancer and lung cancer ( Z=3.50, 2.92, P<0.01); of the age group at starting ages 26 to 30, the radiation group had an increased risk of death distributed to circulatory diseases ( Z=2.06, P<0.05); and in the age group at attained ages elder than 61 years, the radiation group had an increased risk of death distributed to all cancers, lung cancer, and circulatory diseases ( Z=2.90-4.31, P<0.01). Conclusions:As has been shown, threre is an increasing risk of death distributed to lung cancer, pancreatic cancer, and circulatory diseases in medical X-ray diagnostic workers in Jiangsu province. Further in-depth research in related areas may be conducted in the future.

OBJECTIVE To design and synthesize rifamycin S derivatives and load them into milk exosomes to evaluate their in vitro antimicrobial activity.METHODS Rifamycin S derivatives were synthe-sized and characterized by mass spectrometry and NMR.Using the dilution assay method,the inhibitory activity of each rifamycin S derivatives molecule against Staphylococcus aureus and Pseudomonas aerugi-nosa was determined,and the IC50 was calculated.Derivatives molecules with excellent antimicrobial activity were selected and loaded into milk exosomes using the ultrasonication method,resulting in the preparation of milk exosome-loaded rifamycin S derivatives.The antimicrobial activity against Staphylo-coccus aureus was determined using the dilution assay method.The inhibitory effect of the exosome-loaded rifamycin S derivatives on Staphylococcus aureus residing within macrophages was detected using the plate colony counting method.RESULTS Three rifamycin S derivatives were successfully designed and synthesized,which demonstrated superior antimicrobial activity against Staphylococcus aureus(the parent compound's antimicrobial activity is merely from 1/20 to 1/80 of that of the three rifamycin S derivatives)and Pseudomonas aeruginosa(the parent compound's antimicrobial activity is only 1/14 and 1/9 of that of compound 1 and compound 3)compared to the parent compound.The loading of milk exosomes with the rifamycin S derivatives compound 3 was successfully achieved,with a loading efficiency of 10.9％.The antimicrobial activity of the compound after exosome loading was significantly enhanced against Staphylococcus aureus in vitro and against Staphylococcus aureus residing within macrophages(P＜0.01).CONCLUSION The designed and synthesized derivatives of rifamycin S possess stronger anti-microbial activity,and their antibacterial efficacy against both extracellular and intracellular bacteria can be further enhanced after loading into exosomes.

Objective:To construct a method for hepatitis B virus (HBV) DNA detection based on recombinase-mediated isothermal amplification (RAA)-clustered regularly interspaced short palindromic repeats and their associated protein 13a (CRISPR-Cas13a).Methods:Through the alignment and screening of HBV DNA sequences, a positive plasmid was constructed, and recombinase-aided amplification (RAA) primers and CRISPR RNA (crRNA) were designed. A method for detecting HBV DNA based on the RAA-CRISPR-Cas13a system was developed, and the specificity and sensitivity were evaluated. Utilizing the CRISPR-Cas13a system, 70 clinical samples from HBV DNA-positive patients with various viral loads collected at Beijing You′an Hospital from 2019 to 2021 were analyzed. The detection results were further compared with those results using real-time quantitative polymerase chain reaction (qPCR).Results:The optimal RAA amplification primers and crRNA were first screened using the RAA-CRISPR-Cas13a method, with the sensitivities for detecting HBV DNA standards and for clinical samples at 1 IU/ml and<10 IU/ml, respectively, demonstrating specificity for HBV DNA detection. Compared with qPCR (the gold standard), the detection consistency between the two methods was 100% (70/70).Conclusion:This study established a method for detecting HBV DNA by integrating recombinase-aided amplification (RAA) technology with CRISPR/Cas13a technology.